Anna R. Panchenko

11.6k total citations
115 papers, 5.3k citations indexed

About

Anna R. Panchenko is a scholar working on Molecular Biology, Materials Chemistry and Genetics. According to data from OpenAlex, Anna R. Panchenko has authored 115 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Molecular Biology, 28 papers in Materials Chemistry and 13 papers in Genetics. Recurrent topics in Anna R. Panchenko's work include Protein Structure and Dynamics (52 papers), Genomics and Chromatin Dynamics (29 papers) and Bioinformatics and Genomic Networks (28 papers). Anna R. Panchenko is often cited by papers focused on Protein Structure and Dynamics (52 papers), Genomics and Chromatin Dynamics (29 papers) and Bioinformatics and Genomic Networks (28 papers). Anna R. Panchenko collaborates with scholars based in United States, Canada and Russia. Anna R. Panchenko's co-authors include Benjamin A. Shoemaker, Stephen H. Bryant, Hafumi Nishi, Kosuke Hashimoto, Thomas Madej, Alexey К. Shaytan, Alexander Goncearenco, David Landsman, Minghui Li and Emil Alexov and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Anna R. Panchenko

111 papers receiving 5.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anna R. Panchenko United States 43 4.6k 805 558 520 339 115 5.3k
Cyril Dominguez United Kingdom 19 4.0k 0.9× 561 0.7× 270 0.5× 406 0.8× 249 0.7× 34 4.6k
Manuela Helmer‐Citterich Italy 34 3.9k 0.9× 489 0.6× 382 0.7× 476 0.9× 225 0.7× 118 4.8k
Rune Linding Denmark 30 5.2k 1.1× 591 0.7× 392 0.7× 480 0.9× 746 2.2× 53 6.1k
Jack Greenblatt Canada 30 5.6k 1.2× 334 0.4× 946 1.7× 470 0.9× 389 1.1× 67 6.4k
François Stricher Spain 25 4.0k 0.9× 600 0.7× 746 1.3× 297 0.6× 355 1.0× 32 4.9k
Raphaël Guérois France 38 4.7k 1.0× 737 0.9× 509 0.9× 304 0.6× 631 1.9× 117 5.8k
Natalia Sánchez de Groot Israel 40 4.3k 0.9× 484 0.6× 604 1.1× 238 0.5× 428 1.3× 107 5.3k
João Rodrigues Netherlands 24 3.6k 0.8× 490 0.6× 349 0.6× 567 1.1× 259 0.8× 42 4.8k
Česlovas Venclovas Lithuania 37 4.5k 1.0× 1.1k 1.3× 710 1.3× 350 0.7× 103 0.3× 104 5.1k
Barry J. Grant United States 28 3.4k 0.7× 693 0.9× 326 0.6× 572 1.1× 582 1.7× 55 4.3k

Countries citing papers authored by Anna R. Panchenko

Since Specialization
Citations

This map shows the geographic impact of Anna R. Panchenko's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Anna R. Panchenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna R. Panchenko more than expected).

Fields of papers citing papers by Anna R. Panchenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna R. Panchenko. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Anna R. Panchenko. The network helps show where Anna R. Panchenko may publish in the future.

Co-authorship network of co-authors of Anna R. Panchenko

This figure shows the co-authorship network connecting the top 25 collaborators of Anna R. Panchenko. A scholar is included among the top collaborators of Anna R. Panchenko based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anna R. Panchenko. Anna R. Panchenko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Shuxiang, Jie Shu, Tanay Debnath, et al.. (2025). Deciphering Allosteric Modulation of Cancer-Associated Histone Missense Mutations. Journal of Molecular Biology. 437(20). 169180–169180. 3 indexed citations
2.
Panchenko, Anna R., et al.. (2025). G34R cancer mutation alters the conformational ensemble and dynamics of the histone H3.3 tails. Nucleic Acids Research. 54(2).
3.
Peng, Yunhui, Wei Song, Vladimir B. Teif, et al.. (2024). Detection of new pioneer transcription factors as cell-type-specific nucleosome binders. eLife. 12. 8 indexed citations
4.
Li, Shuxiang, et al.. (2022). DNA methylation cues in nucleosome geometry, stability and unwrapping. Nucleic Acids Research. 50(4). 1864–1874. 31 indexed citations
5.
Li, Shuxiang, et al.. (2021). Binding of regulatory proteins to nucleosomes is modulated by dynamic histone tails. Nature Communications. 12(1). 59 indexed citations
6.
Panchenko, Anna R.. (2020). Decoding Molecular Mechanisms of Disease with Medical Biophysics. Biophysical Journal. 118(3). 491a–491a.
7.
Brown, Anna‐Leigh, Minghui Li, Alexander Goncearenco, & Anna R. Panchenko. (2019). Finding driver mutations in cancer: Elucidating the role of background mutational processes. PLoS Computational Biology. 15(4). e1006981–e1006981. 61 indexed citations
8.
Shaytan, Alexey К., Grigoriy A. Armeev, Alexander Goncearenco, et al.. (2017). Microsecond molecular dynamics simulations of nucleosomes:implications for nucleosome function. Biochemistry and Cell Biology. 95(2). 183. 1 indexed citations
9.
Rogozin, Igor B., Youri I. Pavlov, Alexander Goncearenco, et al.. (2017). Mutational signatures and mutable motifs in cancer genomes. Briefings in Bioinformatics. 19(6). 1085–1101. 39 indexed citations
10.
Li, Minghui, Stephen C. Kales, Benjamin A. Shoemaker, et al.. (2015). Balancing Protein Stability and Activity in Cancer: A New Approach for Identifying Driver Mutations Affecting CBL Ubiquitin Ligase Activation. Cancer Research. 76(3). 561–571. 27 indexed citations
11.
Nishi, Hafumi, Jessica H. Fong, Christiana Chang, Sarah A. Teichmann, & Anna R. Panchenko. (2013). Regulation of protein–protein binding by coupling between phosphorylation and intrinsic disorder: analysis of human protein complexes. Molecular BioSystems. 9(7). 1620–1626. 49 indexed citations
12.
Fong, Jessica H., Benjamin A. Shoemaker, & Anna R. Panchenko. (2011). Intrinsic protein disorder in human pathways. Molecular BioSystems. 8(1). 320–326. 13 indexed citations
13.
Fong, Jessica H. & Anna R. Panchenko. (2010). Intrinsic disorder and protein multibinding in domain, terminal, and linker regions. Molecular BioSystems. 6(10). 1821–1828. 18 indexed citations
14.
Cohen-Gihon, Inbar, Jessica H. Fong, Roded Sharan, et al.. (2010). Evolution of domain promiscuity in eukaryotic genomes—a perspective from the inferred ancestral domain architectures. Molecular BioSystems. 7(3). 784–792. 17 indexed citations
15.
Lobanov, Michail Yu., Benjamin A. Shoemaker, Sergiy O. Garbuzynskiy, et al.. (2009). ComSin: database of protein structures in bound (complex) and unbound (single) states in relation to their intrinsic disorder. Nucleic Acids Research. 38(suppl_1). D283–D287. 25 indexed citations
16.
Panchenko, Anna R. & Teresa M. Przytycka. (2008). Protein-protein Interactions and Networks: Identification, Computer Analysis, and Prediction. Springer eBooks. 10 indexed citations
17.
Chakrabarti, Saikat, Christopher J. Lanczycki, Anna R. Panchenko, et al.. (2006). State of the art: refinement of multiple sequence alignments. BMC Bioinformatics. 7(1). 499–499. 8 indexed citations
18.
Kann, Maricel G., et al.. (2004). A structure-based method for protein sequence alignment. Computer applications in the biosciences. 21(8). 1451–1456. 12 indexed citations
19.
Marchler‐Bauer, Aron, Anna R. Panchenko, Naomi Ariel, & Stephen H. Bryant. (2002). Comparison of sequence and structure alignments for protein domains. Proteins Structure Function and Bioinformatics. 48(3). 439–446. 34 indexed citations
20.
Lipman, David J., Alexander Souvorov, Eugene V. Koonin, Anna R. Panchenko, & Tatiana Tatusova. (2002). The relationship of protein conservation and sequence length. BMC Evolutionary Biology. 2(1). 20–20. 114 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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